通过多种可能性分析，以新预测模型季节性门限回归模型和季节性人工神经网络模型效果较为突出。
As a whole, the prediction result from seasonal threshold regression model and seasonal artificial neural network model is better than other models.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
门限自回归模型是一种新近创立的非线性时间序列摸型。
The threshold autoregressive model is a kind of non-linear time series model recently established.
针对梅雨量的分布特性，提出应用门限自回归模型建立一套简便实用的梅雨量丰枯预测方案。
Meiyu predication experiment using the threshold auto-regressive model, advanced genetic algorithm, and related techniques was carried out in Taizhou.
门限自回归模型被广泛地用于许多领域。
Threshold autoregressive models are widely used in time series applications.
门限自回归模型（TAR）是一种分段线性的非线性时间序列模型。
Threshold autoregressive model (TAR) is a nonlinear sequential model which is segmentedly linear.
本文分两节对门限自回归模型中自回归条件异方差的广义谱密度检验进行了讨论。在第一节中，我们介绍了广义谱密度检验。
This thesis is composed of two sections in which we discuss generalized spectral density test of conditional autoregressive heteroscedasticity for threshold autoregressive model.
本文应用带单位根的门限自回归模型，对我国1990年来以来通货膨胀率的动态路径进行了模拟分析。
The paper builds up a TAR model with unit root to make an analysis of China's inflation rate since 1990.
本文应用带单位根的门限自回归模型，对我国1990年来以来通货膨胀率的动态路径进行了模拟分析。
The paper builds up a TAR model with unit root to make an analysis of China's inflation rate since 1990.
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